Engineering Manager - DGX Cloud @ NVIDIA | Jobright.ai
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NVIDIA · 3 days ago

Engineering Manager - DGX Cloud

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Artificial Intelligence (AI)GPU
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H1B Sponsorship
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Growth Opportunities
Hiring Manager
Bella Yanovsky
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Insider Connection @NVIDIA

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Leading a strong engineering team that is designing and architecting a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.
Implementing monitoring and health management capabilities to ensure reliability, availability, and scalability of GPU assets by harnessing multiple data streams.
Working with other engineering managers and teams across NVIDIA to ensure software integration from hardware up to AI training applications.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Systems programmingData structuresAlgorithmsGoPythonCommunicationTeamworkMotivatedCoordinationArchitectingManaging Large-Scale SystemsCluster Management KubernetesCluster Management SlurmCluster Management Bright Cluster ManagerAI Infrastructure DesignOperational ExcellenceTeam Leadership

Required

Direct management experience within highly technical organizations and experience working with product managers and technology leaders across an organization.
Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies.
5+ years of managing software teams and experience managing individuals who work on large-scale production systems.
You possess a BS in Computer Science, Engineering, Physics, or mathematics or a comparable Degree or equivalent experience.
8+ years of overall experience
Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of Data Structure and Algorithms.

Preferred

Technical competency in architecting and managing large-scale distributed systems independent of cloud providers. Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager)
Proven operational excellence in leading teams that are designing and maintaining AI infrastructure

Benefits

Equity

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (735)
2022 (892)
2021 (696)
2020 (534)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2017-05-24Post Ipo Equity· $4B

Leadership Team

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Chris Malachowsky
Co-Founder, SVP
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase
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